validators.py

import re
from collections import OrderedDict, deque
from collections.abc import Hashable
from datetime import date, datetime, time, timedelta
from decimal import Decimal, DecimalException
from enum import Enum, IntEnum
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
from pathlib import Path
from typing import (
    TYPE_CHECKING,
    Any,
    Callable,
    Deque,
    Dict,
    FrozenSet,
    Generator,
    List,
    NamedTuple,
    Pattern,
    Set,
    Tuple,
    Type,
    TypeVar,
    Union,
)
from uuid import UUID

from . import errors
from .datetime_parse import parse_date, parse_datetime, parse_duration, parse_time
from .typing import (
    AnyCallable,
    ForwardRef,
    all_literal_values,
    display_as_type,
    get_class,
    is_callable_type,
    is_literal_type,
    is_named_tuple_type,
    is_typed_dict_type,
)
from .utils import almost_equal_floats, lenient_issubclass, sequence_like

if TYPE_CHECKING:
    from .fields import ModelField
    from .main import BaseConfig, BaseModel
    from .types import ConstrainedDecimal, ConstrainedFloat, ConstrainedInt

    ConstrainedNumber = Union[ConstrainedDecimal, ConstrainedFloat, ConstrainedInt]
    AnyOrderedDict = OrderedDict[Any, Any]
    Number = Union[int, float, Decimal]
    StrBytes = Union[str, bytes]

    class TypedDict(Dict[str, Any]):
        __annotations__: Dict[str, Type[Any]]
        __total__: bool


def str_validator(v: Any) -> Union[str]:
    if isinstance(v, str):
        if isinstance(v, Enum):
            return v.value
        else:
            return v
    elif isinstance(v, (float, int, Decimal)):
        # is there anything else we want to add here? If you think so, create an issue.
        return str(v)
    elif isinstance(v, (bytes, bytearray)):
        return v.decode()
    else:
        raise errors.StrError()


def strict_str_validator(v: Any) -> Union[str]:
    if isinstance(v, str):
        return v
    raise errors.StrError()


def bytes_validator(v: Any) -> bytes:
    if isinstance(v, bytes):
        return v
    elif isinstance(v, bytearray):
        return bytes(v)
    elif isinstance(v, str):
        return v.encode()
    elif isinstance(v, (float, int, Decimal)):
        return str(v).encode()
    else:
        raise errors.BytesError()


def strict_bytes_validator(v: Any) -> Union[bytes]:
    if isinstance(v, bytes):
        return v
    elif isinstance(v, bytearray):
        return bytes(v)
    else:
        raise errors.BytesError()


BOOL_FALSE = {0, '0', 'off', 'f', 'false', 'n', 'no'}
BOOL_TRUE = {1, '1', 'on', 't', 'true', 'y', 'yes'}


def bool_validator(v: Any) -> bool:
    if v is True or v is False:
        return v
    if isinstance(v, bytes):
        v = v.decode()
    if isinstance(v, str):
        v = v.lower()
    try:
        if v in BOOL_TRUE:
            return True
        if v in BOOL_FALSE:
            return False
    except TypeError:
        raise errors.BoolError()
    raise errors.BoolError()


def int_validator(v: Any) -> int:
    if isinstance(v, int) and not (v is True or v is False):
        return v

    try:
        return int(v)
    except (TypeError, ValueError):
        raise errors.IntegerError()


def strict_int_validator(v: Any) -> int:
    if isinstance(v, int) and not (v is True or v is False):
        return v
    raise errors.IntegerError()


def float_validator(v: Any) -> float:
    if isinstance(v, float):
        return v

    try:
        return float(v)
    except (TypeError, ValueError):
        raise errors.FloatError()


def strict_float_validator(v: Any) -> float:
    if isinstance(v, float):
        return v
    raise errors.FloatError()


def number_multiple_validator(v: 'Number', field: 'ModelField') -> 'Number':
    field_type: ConstrainedNumber = field.type_
    if field_type.multiple_of is not None:
        mod = float(v) / float(field_type.multiple_of) % 1
        if not almost_equal_floats(mod, 0.0) and not almost_equal_floats(mod, 1.0):
            raise errors.NumberNotMultipleError(multiple_of=field_type.multiple_of)
    return v


def number_size_validator(v: 'Number', field: 'ModelField') -> 'Number':
    field_type: ConstrainedNumber = field.type_
    if field_type.gt is not None and not v > field_type.gt:
        raise errors.NumberNotGtError(limit_value=field_type.gt)
    elif field_type.ge is not None and not v >= field_type.ge:
        raise errors.NumberNotGeError(limit_value=field_type.ge)

    if field_type.lt is not None and not v < field_type.lt:
        raise errors.NumberNotLtError(limit_value=field_type.lt)
    if field_type.le is not None and not v <= field_type.le:
        raise errors.NumberNotLeError(limit_value=field_type.le)

    return v


def constant_validator(v: 'Any', field: 'ModelField') -> 'Any':
    """Validate ``const`` fields.

    The value provided for a ``const`` field must be equal to the default value
    of the field. This is to support the keyword of the same name in JSON
    Schema.
    """
    if v != field.default:
        raise errors.WrongConstantError(given=v, permitted=[field.default])

    return v


def anystr_length_validator(v: 'StrBytes', config: 'BaseConfig') -> 'StrBytes':
    v_len = len(v)

    min_length = config.min_anystr_length
    if min_length is not None and v_len < min_length:
        raise errors.AnyStrMinLengthError(limit_value=min_length)

    max_length = config.max_anystr_length
    if max_length is not None and v_len > max_length:
        raise errors.AnyStrMaxLengthError(limit_value=max_length)

    return v


def anystr_strip_whitespace(v: 'StrBytes') -> 'StrBytes':
    return v.strip()


def ordered_dict_validator(v: Any) -> 'AnyOrderedDict':
    if isinstance(v, OrderedDict):
        return v

    try:
        return OrderedDict(v)
    except (TypeError, ValueError):
        raise errors.DictError()


def dict_validator(v: Any) -> Dict[Any, Any]:
    if isinstance(v, dict):
        return v

    try:
        return dict(v)
    except (TypeError, ValueError):
        raise errors.DictError()


def list_validator(v: Any) -> List[Any]:
    if isinstance(v, list):
        return v
    elif sequence_like(v):
        return list(v)
    else:
        raise errors.ListError()


def tuple_validator(v: Any) -> Tuple[Any, ...]:
    if isinstance(v, tuple):
        return v
    elif sequence_like(v):
        return tuple(v)
    else:
        raise errors.TupleError()


def set_validator(v: Any) -> Set[Any]:
    if isinstance(v, set):
        return v
    elif sequence_like(v):
        return set(v)
    else:
        raise errors.SetError()


def frozenset_validator(v: Any) -> FrozenSet[Any]:
    if isinstance(v, frozenset):
        return v
    elif sequence_like(v):
        return frozenset(v)
    else:
        raise errors.FrozenSetError()


def deque_validator(v: Any) -> Deque[Any]:
    if isinstance(v, deque):
        return v
    elif sequence_like(v):
        return deque(v)
    else:
        raise errors.DequeError()


def enum_member_validator(v: Any, field: 'ModelField', config: 'BaseConfig') -> Enum:
    try:
        enum_v = field.type_(v)
    except ValueError:
        # field.type_ should be an enum, so will be iterable
        raise errors.EnumMemberError(enum_values=list(field.type_))
    return enum_v.value if config.use_enum_values else enum_v


def uuid_validator(v: Any, field: 'ModelField') -> UUID:
    try:
        if isinstance(v, str):
            v = UUID(v)
        elif isinstance(v, (bytes, bytearray)):
            try:
                v = UUID(v.decode())
            except ValueError:
                # 16 bytes in big-endian order as the bytes argument fail
                # the above check
                v = UUID(bytes=v)
    except ValueError:
        raise errors.UUIDError()

    if not isinstance(v, UUID):
        raise errors.UUIDError()

    required_version = getattr(field.type_, '_required_version', None)
    if required_version and v.version != required_version:
        raise errors.UUIDVersionError(required_version=required_version)

    return v


def decimal_validator(v: Any) -> Decimal:
    if isinstance(v, Decimal):
        return v
    elif isinstance(v, (bytes, bytearray)):
        v = v.decode()

    v = str(v).strip()

    try:
        v = Decimal(v)
    except DecimalException:
        raise errors.DecimalError()

    if not v.is_finite():
        raise errors.DecimalIsNotFiniteError()

    return v


def hashable_validator(v: Any) -> Hashable:
    if isinstance(v, Hashable):
        return v

    raise errors.HashableError()


def ip_v4_address_validator(v: Any) -> IPv4Address:
    if isinstance(v, IPv4Address):
        return v

    try:
        return IPv4Address(v)
    except ValueError:
        raise errors.IPv4AddressError()


def ip_v6_address_validator(v: Any) -> IPv6Address:
    if isinstance(v, IPv6Address):
        return v

    try:
        return IPv6Address(v)
    except ValueError:
        raise errors.IPv6AddressError()


def ip_v4_network_validator(v: Any) -> IPv4Network:
    """
    Assume IPv4Network initialised with a default ``strict`` argument

    See more:
    https://docs.python.org/library/ipaddress.html#ipaddress.IPv4Network
    """
    if isinstance(v, IPv4Network):
        return v

    try:
        return IPv4Network(v)
    except ValueError:
        raise errors.IPv4NetworkError()


def ip_v6_network_validator(v: Any) -> IPv6Network:
    """
    Assume IPv6Network initialised with a default ``strict`` argument

    See more:
    https://docs.python.org/library/ipaddress.html#ipaddress.IPv6Network
    """
    if isinstance(v, IPv6Network):
        return v

    try:
        return IPv6Network(v)
    except ValueError:
        raise errors.IPv6NetworkError()


def ip_v4_interface_validator(v: Any) -> IPv4Interface:
    if isinstance(v, IPv4Interface):
        return v

    try:
        return IPv4Interface(v)
    except ValueError:
        raise errors.IPv4InterfaceError()


def ip_v6_interface_validator(v: Any) -> IPv6Interface:
    if isinstance(v, IPv6Interface):
        return v

    try:
        return IPv6Interface(v)
    except ValueError:
        raise errors.IPv6InterfaceError()


def path_validator(v: Any) -> Path:
    if isinstance(v, Path):
        return v

    try:
        return Path(v)
    except TypeError:
        raise errors.PathError()


def path_exists_validator(v: Any) -> Path:
    if not v.exists():
        raise errors.PathNotExistsError(path=v)

    return v


def callable_validator(v: Any) -> AnyCallable:
    """
    Perform a simple check if the value is callable.

    Note: complete matching of argument type hints and return types is not performed
    """
    if callable(v):
        return v

    raise errors.CallableError(value=v)


def enum_validator(v: Any) -> Enum:
    if isinstance(v, Enum):
        return v

    raise errors.EnumError(value=v)


def int_enum_validator(v: Any) -> IntEnum:
    if isinstance(v, IntEnum):
        return v

    raise errors.IntEnumError(value=v)


def make_literal_validator(type_: Any) -> Callable[[Any], Any]:
    permitted_choices = all_literal_values(type_)
    allowed_choices_set = set(permitted_choices)

    def literal_validator(v: Any) -> Any:
        if v not in allowed_choices_set:
            raise errors.WrongConstantError(given=v, permitted=permitted_choices)
        return v

    return literal_validator


def constr_length_validator(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
    v_len = len(v)

    min_length = field.type_.min_length or config.min_anystr_length
    if min_length is not None and v_len < min_length:
        raise errors.AnyStrMinLengthError(limit_value=min_length)

    max_length = field.type_.max_length or config.max_anystr_length
    if max_length is not None and v_len > max_length:
        raise errors.AnyStrMaxLengthError(limit_value=max_length)

    return v


def constr_strip_whitespace(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
    strip_whitespace = field.type_.strip_whitespace or config.anystr_strip_whitespace
    if strip_whitespace:
        v = v.strip()

    return v


def validate_json(v: Any, config: 'BaseConfig') -> Any:
    if v is None:
        # pass None through to other validators
        return v
    try:
        return config.json_loads(v)  # type: ignore
    except ValueError:
        raise errors.JsonError()
    except TypeError:
        raise errors.JsonTypeError()


T = TypeVar('T')


def make_arbitrary_type_validator(type_: Type[T]) -> Callable[[T], T]:
    def arbitrary_type_validator(v: Any) -> T:
        if isinstance(v, type_):
            return v
        raise errors.ArbitraryTypeError(expected_arbitrary_type=type_)

    return arbitrary_type_validator


def make_class_validator(type_: Type[T]) -> Callable[[Any], Type[T]]:
    def class_validator(v: Any) -> Type[T]:
        if lenient_issubclass(v, type_):
            return v
        raise errors.SubclassError(expected_class=type_)

    return class_validator


def any_class_validator(v: Any) -> Type[T]:
    if isinstance(v, type):
        return v
    raise errors.ClassError()


def pattern_validator(v: Any) -> Pattern[str]:
    if isinstance(v, Pattern):
        return v

    str_value = str_validator(v)

    try:
        return re.compile(str_value)
    except re.error:
        raise errors.PatternError()


NamedTupleT = TypeVar('NamedTupleT', bound=NamedTuple)


def make_named_tuple_validator(type_: Type[NamedTupleT]) -> Callable[[Tuple[Any, ...]], NamedTupleT]:
    from .main import create_model

    # A named tuple can be created with `typing,NamedTuple` with types
    # but also with `collections.namedtuple` with just the fields
    # in which case we consider the type to be `Any`
    named_tuple_annotations: Dict[str, Type[Any]] = getattr(type_, '__annotations__', {k: Any for k in type_._fields})
    field_definitions: Dict[str, Any] = {
        field_name: (field_type, ...) for field_name, field_type in named_tuple_annotations.items()
    }
    NamedTupleModel: Type['BaseModel'] = create_model('NamedTupleModel', **field_definitions)

    def named_tuple_validator(values: Tuple[Any, ...]) -> NamedTupleT:
        dict_values: Dict[str, Any] = dict(zip(named_tuple_annotations, values))
        validated_dict_values: Dict[str, Any] = dict(NamedTupleModel(**dict_values))
        return type_(**validated_dict_values)

    return named_tuple_validator


def make_typed_dict_validator(type_: Type['TypedDict']) -> Callable[[Any], Dict[str, Any]]:
    from .main import create_model

    field_definitions: Dict[str, Any] = {
        field_name: (field_type, ... if type_.__total__ else None)
        for field_name, field_type in type_.__annotations__.items()
    }
    TypedDictModel: Type['BaseModel'] = create_model('TypedDictModel', **field_definitions)

    def typed_dict_validator(values: 'TypedDict') -> Dict[str, Any]:
        return TypedDictModel(**values).dict(exclude_unset=True)

    return typed_dict_validator


class IfConfig:
    def __init__(self, validator: AnyCallable, *config_attr_names: str) -> None:
        self.validator = validator
        self.config_attr_names = config_attr_names

    def check(self, config: Type['BaseConfig']) -> bool:
        return any(getattr(config, name) not in {None, False} for name in self.config_attr_names)


# order is important here, for example: bool is a subclass of int so has to come first, datetime before date same,
# IPv4Interface before IPv4Address, etc
_VALIDATORS: List[Tuple[Type[Any], List[Any]]] = [
    (IntEnum, [int_validator, enum_member_validator]),
    (Enum, [enum_member_validator]),
    (
        str,
        [
            str_validator,
            IfConfig(anystr_strip_whitespace, 'anystr_strip_whitespace'),
            IfConfig(anystr_length_validator, 'min_anystr_length', 'max_anystr_length'),
        ],
    ),
    (
        bytes,
        [
            bytes_validator,
            IfConfig(anystr_strip_whitespace, 'anystr_strip_whitespace'),
            IfConfig(anystr_length_validator, 'min_anystr_length', 'max_anystr_length'),
        ],
    ),
    (bool, [bool_validator]),
    (int, [int_validator]),
    (float, [float_validator]),
    (Path, [path_validator]),
    (datetime, [parse_datetime]),
    (date, [parse_date]),
    (time, [parse_time]),
    (timedelta, [parse_duration]),
    (OrderedDict, [ordered_dict_validator]),
    (dict, [dict_validator]),
    (list, [list_validator]),
    (tuple, [tuple_validator]),
    (set, [set_validator]),
    (frozenset, [frozenset_validator]),
    (deque, [deque_validator]),
    (UUID, [uuid_validator]),
    (Decimal, [decimal_validator]),
    (IPv4Interface, [ip_v4_interface_validator]),
    (IPv6Interface, [ip_v6_interface_validator]),
    (IPv4Address, [ip_v4_address_validator]),
    (IPv6Address, [ip_v6_address_validator]),
    (IPv4Network, [ip_v4_network_validator]),
    (IPv6Network, [ip_v6_network_validator]),
]


def find_validators(  # noqa: C901 (ignore complexity)
    type_: Type[Any], config: Type['BaseConfig']
) -> Generator[AnyCallable, None, None]:
    from .dataclasses import is_builtin_dataclass, make_dataclass_validator

    if type_ is Any:
        return
    type_type = type_.__class__
    if type_type == ForwardRef or type_type == TypeVar:
        return
    if type_ is Pattern:
        yield pattern_validator
        return
    if type_ is Hashable:
        yield hashable_validator
        return
    if is_callable_type(type_):
        yield callable_validator
        return
    if is_literal_type(type_):
        yield make_literal_validator(type_)
        return
    if is_builtin_dataclass(type_):
        yield from make_dataclass_validator(type_, config)
        return
    if type_ is Enum:
        yield enum_validator
        return
    if type_ is IntEnum:
        yield int_enum_validator
        return
    if is_named_tuple_type(type_):
        yield tuple_validator
        yield make_named_tuple_validator(type_)
        return
    if is_typed_dict_type(type_):
        yield make_typed_dict_validator(type_)
        return

    class_ = get_class(type_)
    if class_ is not None:
        if isinstance(class_, type):
            yield make_class_validator(class_)
        else:
            yield any_class_validator
        return

    for val_type, validators in _VALIDATORS:
        try:
            if issubclass(type_, val_type):
                for v in validators:
                    if isinstance(v, IfConfig):
                        if v.check(config):
                            yield v.validator
                    else:
                        yield v
                return
        except TypeError:
            raise RuntimeError(f'error checking inheritance of {type_!r} (type: {display_as_type(type_)})')

    if config.arbitrary_types_allowed:
        yield make_arbitrary_type_validator(type_)
    else:
        raise RuntimeError(f'no validator found for {type_}, see `arbitrary_types_allowed` in Config')